Papers
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
Ardavan Saeedi, Matthew Hoffman, Stephen DiVerdi et al.
Sketching for Kronecker Product Regression and P-splines
Huaian Diao, Zhao Song, Wen Sun et al.
Nested CRP with Hawkes-Gaussian Processes
Xi Tan, Vinayak Rao, Jennifer Neville
Robustness of classifiers to uniform ℓ_p and Gaussian noise
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
Sparse Linear Isotonic Models
Sheng Chen, Arindam Banerjee
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor et al.
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations
Alan Lazarus, Dirk Husmeier, Theodore Papamarkou
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus, Angela Zhou
A Generic Approach for Escaping Saddle points
Sashank Reddi, Manzil Zaheer, Suvrit Sra et al.
Structured Factored Inference for Probabilistic Programming
Avi Pfeffer, Brian Ruttenberg, William Kretschmer et al.
VAE with a VampPrior
Jakub Tomczak, Max Welling
Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems
Sai Praneeth Reddy Karimireddy, Sebastian Stich, Martin Jaggi
Differentially Private Regression with Gaussian Processes
Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele et al.
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan, Purnamrita Sarkar, Xiuyuan Cheng
Submodularity on Hypergraphs: From Sets to Sequences
Marko Mitrovic, Moran Feldman, Andreas Krause et al.
Bayesian Approaches to Distribution Regression
Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic et al.
Optimality of Approximate Inference Algorithms on Stable Instances
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Towards Memory-Friendly Deterministic Incremental Gradient Method
Jiahao Xie, Hui Qian, Zebang Shen et al.
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li, Changyou Chen et al.
Crowdclustering with Partition Labels
Junxiang Chen, Yale Chang, Peter Castaldi et al.
Factor Analysis on a Graph
Masayuki Karasuyama, Hiroshi Mamitsuka
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
Hongyi Ding, Mohammad Khan, Issei Sato et al.
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery
Xiao Zhang, Lingxiao Wang, Quanquan Gu
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms
Pan Xu, Tianhao Wang, Quanquan Gu
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
Yichen Wang, Evangelos Theodorou, Apurv Verma et al.